1

Manager Data Engineering Jobs in Kansas (NOW HIRING)

Data Engineer

Kansas City, KS ยท On-site

$110K - $132K/yr

... data engineering, data platform development, or cloud data solutions โ€ข 3+ years of hands-on ... with data management, including data governance, data security, master data management, and ...

Analytics Engineer II

Overland Park, KS ยท On-site

$108K - $130K/yr

Preferred qualifications include a bachelor's degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience ...

Analytics Engineer II

Overland Park, KS ยท On-site

$90K - $115K/yr

Preferred qualifications include a bachelor's degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience ...

$98K - $118K/yr

Support data engineering execution across complex application development initiatives, ensuring ... data management tools and your experience with continuous delivery will support the end-to-end ...

Sr Engineer Data

Overland Park, KS ยท On-site

$104K - $142K/yr

Stay current with trends and technologies in data engineering and apply them to improve the data ... Ability to build collaborative and cooperative partnerships, effectively manage conflict, find ...

Sr Engineer Data

Overland Park, KS ยท On-site

$100K - $136K/yr

Stay current with trends and technologies in data engineering and apply them to improve the data ... Ability to build collaborative and cooperative partnerships, effectively manage conflict, find ...

Sr Engineer Data

Overland Park, KS ยท On-site

$100K - $136K/yr

Stay current with trends and technologies in data engineering and apply them to improve the data ... Ability to build collaborative and cooperative partnerships, effectively manage conflict, find ...

Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps ...

Data Engineer II

Topeka, KS ยท On-site

$107K - $129K/yr

Bachelor's degree in Computer Science, Software Engineering, Mathematics, Business, or related ... Experience working with IT leadership to establish and improve data management processes and ...

Data Engineer II

Topeka, KS ยท On-site

$107K - $129K/yr

Ensure pipelines are fault-tolerant, low-latency, and maintainable through strong engineering and ... Experience working with IT leadership to establish and improve data management processes and ...

Senior Data Architect

Topeka, KS ยท On-site

$63.25 - $84.75/hr

Bachelor's degree in Computer Science, Information Systems, Data Management, or related field * Minimum 5 years of experience in data architecture or data engineering, with significant architecture ...

Senior Data Architect

Topeka, KS ยท On-site +1

$63.25 - $84.75/hr

Bachelor's degree in Computer Science, Information Systems, Data Management, or related field * Minimum 5 years of experience in data architecture or data engineering, with significant architecture ...

Showing results 41-60

Manager Data Engineering information

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Kansas?

The most popular types of Data Engineering jobs in Kansas are:

What are popular job titles related to Manager Data Engineering jobs in Kansas?

For Manager Data Engineering jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Kansas look for?

The top searched job categories for Manager Data Engineering jobs in Kansas are:

What cities in Kansas are hiring for Manager Data Engineering jobs?

Cities in Kansas with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Kansas as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Engineer

Kansas City, KS โ€ข On-site

Reply
Software Developmentย โ€ขย 11 - 50 employees

$110K - $132K/yr

Full-time

Posted 25 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
โ€ข Work directly with clients to understand business goals, data challenges, and technical requirements
โ€ข Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
โ€ข Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
โ€ข Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
โ€ข Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
โ€ข Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
โ€ข Bachelor's degree in computer science or related field
โ€ข 6+ years of experience in data engineering, data platform development, or cloud data solutions
โ€ข 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
โ€ข Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
โ€ข Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
โ€ข DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
โ€ข Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
โ€ข Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
โ€ข Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
โ€ข Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
โ€ข Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.